World's Best Scientists 2026 revealed!

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Computer Science

D-Index
38
Citations
6719
World Ranking
10177
National Ranking
152

Research.com Recognitions

  • 2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to image processing, computer vision, and mixed and augmented reality

Overview

Naokazu Yokoya is affiliated with the Nara Institute of Science and Technology in Japan. Their career includes recognition from the International Association for Pattern Recognition (IAPR), which named them a Fellow in 2016. This honor was awarded for contributions to image processing, computer vision, and mixed and augmented reality.

Yokoya's work is closely related to areas involving image processing and computer vision, with additional emphasis on mixed and augmented reality applications. These fields are interconnected through the use of computational techniques to analyze, interpret, and enhance visual data.

Although specific papers, co-authors, and publication venues are not listed, Yokoya's acknowledgment by the IAPR indicates an involvement in research communities focused on pattern recognition and its applications across multiple advanced topics in computer science and engineering.

Their expertise likely encompasses practical and theoretical aspects of image analysis technologies, potentially impacting developments in augmented reality environments and related disciplines. This suggests an interdisciplinary approach integrating computer vision algorithms and interactive visual technologies.

Best Publications

  • Image database systems: A survey

    Hideyuki Tamura;Naokazu Yokoya

  • A Robust Method for Registration and Segmentation of Multiple Range Images

    Takeshi Masuda;Naokazu Yokoya

  • Range image segmentation based on differential geometry: a hybrid approach

    N. Yokoya;M.D. Levine

  • Registration and integration of multiple range images for 3-D model construction

    T. Masuda;K. Sakaue;N. Yokoya

  • Fractal-based analysis and interpolation of 3D natural surface shapes and their application to Terrain modeling

    Naokazu Yokoya;Kazuhiko Yamamoto;Noboru Funakubo

  • A stereoscopic video see-through augmented reality system based on real-time vision-based registration

    M. Kanbara;T. Okuma;H. Takemura;N. Yokoya

  • Telepresence by Real-Time View-Dependent Image Generation from Omnidirectional Video Streams

    Yoshio Onoe;Kazumasa Yamazawa;Haruo Takemura;Naokazu Yokoya

  • Generation of high-resolution stereo panoramic images by omnidirectional imaging sensor using hexagonal pyramidal mirrors

    T. Kawanishi;K. Yamazawa;H. Iwasa;H. Takemura

  • Real-Time Tracking of Multiple Moving Object Contours in a Moving Camera Image Sequence

    Shoichi Araki;Takashi Matsuoka;Naokazu Yokoya;Haruo Takemura

  • Video Summarization Using Deep Semantic Features

    Mayu Otani;Yuta Nakashima;Esa Rahtu;Janne Heikkilä

  • Real-time estimation of light source environment for photorealistic augmented reality

    M. Kanbara;N. Yokoya

  • Diminished Reality Based on Image Inpainting Considering Background Geometry

    Norihiko Kawai;Tomokazu Sato;Naokazu Yokoya

  • Visual surveillance and monitoring system using an omnidirectional video camera

    Y. Onoe;N. Yokoya;K. Yamazawa;H. Takemura

  • Dense 3-D reconstruction of an outdoor scene, by hundreds-baseline stereo using a hand-held video camera

    T. Sato;M. Kanbara;N. Yokoya;I. Takemura

  • SeamlessDesign for 3D object creation

    K. Kiyokawa;H. Takemura;N. Yokoya

  • Memory-based self-localization using omnidirectional images

    N. Aihara;H. Iwasa;N. Yokoya;H. Takemura

  • Learning Joint Representations of Videos and Sentences with Web Image Search

    Mayu Otani;Yuta Nakashima;Esa Rahtu;Janne Heikkilä

  • A wearable augmented reality system using positioning infrastructures and a pedometer

    R. Tenmoku;M. Kanbara;N. Yokoya

  • Design and implementation of SPIDER― a transportable image processing software package

    Hideyuki Tamura;Shigeyuki Sakane;Fumiaki Tomita;Naokazu Yokoya

  • A collaboration support technique by integrating a shared virtual reality and a shared augmented reality

    K. Kiyokawa;H. Takemura;N. Yokoya

  • Summarization of User-Generated Sports Video by Using Deep Action Recognition Features

    Antonio Tejero-de-Pablos;Yuta Nakashima;Tomokazu Sato;Naokazu Yokoya

Frequent Co-Authors

Haruo Takemura
Haruo Takemura Osaka University
Kiyoshi Kiyokawa
Kiyoshi Kiyokawa Nara Institute of Science and Technology
Esa Rahtu
Esa Rahtu Tampere University
Martin D. Levine
Martin D. Levine McGill University
Janne Heikkilä
Janne Heikkilä University of Oulu
Katsushi Ikeuchi
Katsushi Ikeuchi Microsoft (United States)
Tomas Pajdla
Tomas Pajdla Czech Technical University in Prague
Avideh Zakhor
Avideh Zakhor University of California, Berkeley
Norihiro Hagita
Norihiro Hagita Advanced Telecommunications Research Institute International

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